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Proceedings Paper

X-ray image retrieval system based on visual feature discrimination
Author(s): Heelah A. Alraqibah; Ouiem Bchir; Mohamed Maher Ben Ismail
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Paper Abstract

In this paper, we propose a medical content based image retrieval system based on efficient discrimination between visual descriptors within each image category. In addition, the proposed approach reduces the search space during the retrieval phase by incorporating an unsupervised learning and feature weighing component. We use a collection of X-ray images from ImageCLEF2009 data set in order to assess the performance of the system. The obtained results show that the proposed approach is faster than typical content based image retrieval.

Paper Details

Date Published: 16 April 2014
PDF: 5 pages
Proc. SPIE 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014), 91591S (16 April 2014); doi: 10.1117/12.2064512
Show Author Affiliations
Heelah A. Alraqibah, King Saud Univ. (Saudi Arabia)
Ouiem Bchir, King Saud Univ. (Saudi Arabia)
Mohamed Maher Ben Ismail, King Saud Univ. (Saudi Arabia)

Published in SPIE Proceedings Vol. 9159:
Sixth International Conference on Digital Image Processing (ICDIP 2014)
Charles M. Falco; Chin-Chen Chang; Xudong Jiang, Editor(s)

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